ArticleAnnals of Saudi medicine
Predictors of disease severity in patients hospitalized with coronavirus disease 2019.
Article in Annals of Saudi medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Observational
Corrections and comments
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCoronavirus disease 2019 (COVID-19), caused by a novel coronavirus, manifests as a respiratory illness primarily and symptoms range from asymptomatic to severe respiratory syndrome and even death. During the pandemic, due to overcrowding of medical facilities, clinical assessment to triage patients for home care or in-hospital treatment was an essential element of management.
objectivesStudy the demographic features, comorbidities and bio-markers that predict severe illness and mortality from COVID-19 infection.
designRetrospective observational
settingSingle tertiary care center PATIENTS AND
methodsThe study included all patients admitted with a positive PCR test for COVID-19 during the period from March 2020 to September 2020 (7 months). Data on demographics, clinical data and laboratory parameters was collected from medical records every 3 days during hospital stay or up until transfer to ICU.
main outcome measuresDemographic, comorbidities and biochemical features that might predict severe COVID-19 disease. SAMPLE SIZE: 372
resultsOf the 372 patients, 72 (19.4%) had severe disease requiring admission to intensive care unit (ICU); 6 (1.6%) died. Individuals over 62 years were more likely to be admitted to the ICU (
conclusionsParticular demographic and clinical parameters may predict severe illness and need for ICU care. LIMITATIONS: Single referral center, several cases of severe COVID-19 could not be included due to lack of consent and or data. CONFLICT OF INTEREST: None.
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